An enterprise client is seeking experienced researchers, academics, and technical professionals to support advanced research and evaluation projects in Astronomy & Astrophysics. Selected candidates will apply specialized domain expertise to complex scientific problems, evaluate AI-generated technical content, and provide expert-level reasoning and feedback.
Job Description- Work through and evaluate complex Astronomy & Astrophysics problems requiring advanced domain expertise
- Develop domain-specific research, reasoning, and evaluation tasks
- Evaluate AI-generated scientific and technical content for accuracy, quality, and scientific rigor
- Review technical or academic responses and identify factual, mathematical, methodological, or conceptual inaccuracies
- Provide clear, well-supported specialist-level reasoning and feedback
- Apply advanced knowledge to assigned research and evaluation projects
- Assess research outputs, models, computational work, datasets, or other technical materials where relevant
- Deep specialization in a defined Astronomy & Astrophysics subfield, rather than broad general knowledge
- Verifiable record of substantive research, technical, computational, observational, or professional work directly related to the specialization
- Ability to independently work through or evaluate complex scientific problems at an advanced level
- Strong written reasoning skills and ability to clearly explain technical judgments
- Current or recent experience in academic research, technical practice, or specialized professional work
- Verifiable academic affiliation, research appointment, or relevant academic background with a university ranked within the QS World University Rankings Top 100
Highly prefer candidates to have:
- Expertise in areas such as Astronomy, Astrophysics, Cosmology, Theoretical or Observational Astrophysics, Stellar or Galactic Astrophysics, Computational Astrophysics, or Astrophysical Data Analysis
- Peer-reviewed or first-author research demonstrating subject-matter expertise
- Experience with astronomical observations, mathematical modelling, numerical simulations, computational methods, or astrophysical data analysis
- Technical work products such as datasets, computational implementations, models, test reports, patents, or other substantive research outputs
- Ability to demonstrate expertise in a clearly defined astrophysical problem area
Skills Required
- Deep specialization in a defined Astronomy or Astrophysics subfield
- Verifiable substantive research, technical, computational, observational, or professional work directly related to the specialization
- Ability to independently evaluate complex scientific problems at an advanced level
- Strong written reasoning skills and ability to explain technical judgments clearly
- Current or recent experience in academic research, technical practice, or specialized professional work
- Verifiable academic affiliation, research appointment, or relevant academic background with a university ranked in the QS World University Rankings Top 100
- Expertise in Astronomy, Astrophysics, Cosmology, theoretical or observational astrophysics, stellar or galactic astrophysics, computational astrophysics, or astrophysical data analysis
- Peer-reviewed or first-author research demonstrating subject-matter expertise
- Experience with astronomical observations, mathematical modeling, numerical simulations, computational methods, or astrophysical data analysis
- Technical work products such as datasets, computational implementations, models, test reports, patents, or other substantive research outputs
- Expertise in a clearly defined astrophysical problem area
What We Do
Lifted, an Upwork Company, is a B2B SaaS platform that helps enterprise organizations source, contract, manage, and pay contingent talent globally and compliantly. It supports multiple engagement models, including independent contractors, staff augmentation, and employer-of-record, while integrating with MSPs and VMSs to provide centralized visibility, spend control, and audit-ready compliance, delivering a white-labeled talent experience for hiring managers and contingent workforce programs.








